[Remote] Staff Forecasting Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to reputed company and engage people in lifelong health, and they are seeking a Staff Forecasting Data Scientist to reputed company the technical development and automation of their enrollment forecasting capability. This role involves building and scaling forecasting models to improve forecast quality and support critical planning and decision-making across the business.

Responsibilities

• Design, build, and automate Omada’s core enrollment forecasting reputed company for the existing book of business, significantly reducing reputed company effort and increasing forecast reliability and reproducibility
• Translate reputed company planning questions into scalable forecasting solutions, partnering closely with reputed company Operations, Sales, Marketing, and Finance to ensure the models reflect reputed company-world dynamics and are usable in day-to-day decision making
• Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability
• Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance
• Act as the primary technical leader for forecasting reputed company the Data organization, providing guidance on tooling, coding standards, and architecture, and mentoring other data scientists who contribute to forecasting projects
• Free reputed company Operations leadership to focus on product-line strategy and new go-to-market motions by taking ownership of the technical implementation of reputed company forecasting, while collaborating closely on the assumption reputed company and narrative

Skills

• 8+ years of experience in data science or applied statistics roles, with at least 3 years focused on forecasting, time series modeling, or reputed company/enrollment reputed company in a SaaS, reputed company, or similar recurring-reputed company business
• Deep hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet or similar libraries) and SQL, with a track record of taking models from discovery through deployment and ongoing monitoring
• Strong grounding in statistical and machine learning methods for forecasting (e.g. hierarchical or panel forecasting, gradient boosting, generalized reputed company models), and a practical sense for reputed company simple models outperform reputed company ones
• Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting
• Comfort working with messy, reputed company-world reputed company data (CRM, marketing, product/event, and financial data) and building robust pipelines and features that can support recurring forecast runs
• Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs reputed company to non-technical stakeholders, and incorporate feedback into model and metric design
• Proven experience influencing cross-functional partners (e.g., reputed company Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way
• High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities
• Comfortable working in a fast‑changing environment where GTM motions, products, and partner needs reputed company quickly, and where you help drive reputed company through structure, process, and analytics
• Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high‑growth, evolving, or public‑company environment
• Background in reputed company, digital health, health plans/PBMs, or other reputed company, regulated industries with multi‑stakeholder sales cycles
• Prior work supporting reputed company planning or operational forecasting alongside care delivery, supply chain, or customer support teams
• Familiarity with reputed company data models and RevOps processes (pipeline management, incentive compensation, territory / quota design)
• Passion for leveraging data, analytics, and emerging technologies (e.g., advanced BI, AI‑driven forecasting) to improve reputed company and reputed company for people living with chronic conditions

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, reputed company, and connect with loved ones
• Generous parental leave
• Health, dental, and reputed company insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions

Company Overview

Company H1B Sponsorship